The Florida Everglades ecosystem is recognised world-wide as a significant wetland whose natural processes have been altered and remain threatened. State and Federal US agencies face critical decisions about the course of conservation and restoration efforts. Synthesising nearly ten years of laboratory and field research of the Duke University Wetland Center, this book provides the long-term integrated scientific studies needed to understand the functioning of this region. Background information about the current and historical ecological conditions of the region set the context for reports of long-term research projects, while a series of gradient studies determine the effects of hydrology and nutrient changes. Subsequent sections present models for predicting responses to various conditions and analyse the studies and models, focusing on management and restoration of the Everglades.

EBM entails collaborative, landscape-scale planning and flexible, adaptive implementation.

Although the progress of environmental restoration projects in the Florida Everglades remains slow overall, there have been improvements in the pace of restoration and in the relationship between the federal and state partners during the last two years. However, the importance of several challenges related to water quantity and quality have become clear, highlighting the difficulty in achieving restoration goals for all ecosystem components in all portions of the Everglades. Progress Toward Restoring the Everglades explores these challenges. The book stresses that rigorous scientific analyses of the tradeoffs between water quality and quantity and between the hydrologic requirements of Everglades features and species are needed to inform future prioritization and funding decisions.

"An intermediate-level survey of swampy Everglades National Park in Florida, covering its popular natural features, wildlife, and history. Includes captions, glossary, additional resources, and an index"--

This book explores the applicability of multiple remote sensors to acquire information relevant to restoration and conservation efforts in wetlands using data collected from airborne and space multispectral/hyperspectral sensors, light detection and ranging (LiDAR), Unmanned Aircraft Systems (UAS), and a hand-held spectroradiometer. This book also examines digital data processing techniques such as object-based image analysis, machine learning, texture analysis, and data fusion. After an introduction to the Everglades and to remote sensing, the book is divided into four parts based on the sensor systems used. There are chapters on vegetation mapping, biomass and water quality modeling, applications of hyperspectral data for plant stress analysis and coral reef mapping, studies of airborne LiDAR data for coastal vulnerability analysis and DEM improvement, as well as chapters that explore a fusion of multiple sensors for different datasets. Features Introduces concepts, theories, and advanced processing techniques A complete introduction of machine learning, object-based image analysis, data fusion, and ensemble analysis techniques in processing data from multiple remote sensors Explains how multiple remote sensing systems are applied in the wetland ecosystems of Florida The author had been teaching and using both systems and her research is widely recognized Multi-sensor System Applications in the Everglades Ecosystems provides a comprehensive application of remote sensing techniques in the Florida Everglades and its coastal ecosystems. It will prove an invaluable resource for the restoration and conservation of the Florida Everglades and beyond, for global wetlands in general. Any professional, scientist, engineer, or student working with remote sensing and wetland ecosystems will reap enormous benefits from this book.

Drawing case studies, the authors of this work examine how adaptive governance breaks the gridlock in natural-resource policy. Unlike scientific management, which relies on science as the foundation for policies made through a central authority, adaptive governance integrates other types of knowledge into the decision-making process. The authors emphasize the need for open decision making, recognition of multiple interests in questions of natural-resource policy, and an integrative, interpretive science to replace traditional reductive, experimental science.